Results 221 to 230 of about 94,016 (314)

Deep hashing and attention mechanism-based image retrieval of osteosarcoma scans for diagnosis of bone cancer. [PDF]

open access: yesJ Bone Oncol
Zeng T   +10 more
europepmc   +1 more source

Quantitative macromolecular proton fraction imaging using pulsed spin‐lock

open access: yesMagnetic Resonance in Medicine, Volume 94, Issue 6, Page 2492-2507, December 2025.
Abstract Purpose Recent studies have shown that spin‐lock MRI can simplify quantitative magnetization transfer (MT) by eliminating its dependency on water pool parameters, removing the need for a T1 map in macromolecular proton fraction (MPF) quantification. However, its application is often limited by the requirement for long radiofrequency (RF) pulse
Qianxue Shan   +7 more
wiley   +1 more source

Leveraging Sparse Autoencoders to Reveal Interpretable Features in Geophysical Models

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Machine learning is an increasingly popular tool in the geosciences, offering new approaches to numerical weather prediction and complex data set analysis. However, as reliance on these techniques grows, pressing questions about model transparency, internal biases, and trust emerge.
Fraser King   +4 more
wiley   +1 more source

Measuring Crypto Literacy

open access: yesJournal of Consumer Affairs, Volume 59, Issue 4, Winter 2025.
ABSTRACT We present the construction and validation of a scale for measuring cryptocurrency knowledge. As users continue to adopt digital currencies and government agencies introduce more regulatory legislation, researchers need to understand the general public's degree of literacy in this area.
Michael Jones   +2 more
wiley   +1 more source

Multi GPU Sparse Matrix by Sparse Matrix Multiplication

open access: yesConcurrency and Computation: Practice and Experience, Volume 37, Issue 25-26, 30 November 2025.
ABSTRACT The paper focuses on the improvement of the existing nsparse Nagasaka et al. algorithm and its extension to the multi‐GPU setting for the application of real engineering problems. In this work, we propose a distributed multi‐GPU framework for SpGEMM that is designed specifically for the nsparse like algorithms.
Artem Mavliutov   +4 more
wiley   +1 more source

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